Junjie Wang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Advanced Memory and Neural Computing 37
- Ferroelectric and Negative Capacitance Devices 13
- Semiconductor materials and devices 6
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- Photoreceptor and optogenetics research 14
- Neuroscience and Neural Engineering 10
- Co-authors
- Su‐Ting Han (17 shared papers)Ye Zhou (15 shared papers)Ziyu Lv (13 shared papers)Yan Wang (8 shared papers)T. P. Chen (21 shared papers)Jingrui Chen (1 shared paper)Qi Yu (18 shared papers)Yang Liu (17 shared papers)
In The Last Decade
Junjie Wang
80 papers receiving 1.8k citations
Junjie Wang's Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 489
- Electrical and Electronic Engineering 1.5k
- Polymers and Plastics 237
- Renewable Energy, Sustainability and the Environment 216
- Cognitive Neuroscience 194
Countries citing papers authored by Junjie Wang
This map shows the geographic impact of Junjie Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junjie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Wang more than expected).
Fields of papers citing papers by Junjie Wang
This network shows the impact of papers produced by Junjie Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junjie Wang. The network helps show where Junjie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjie Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems Hit paper breakdown → | 2020 | 303 |
| 2 | 2015 | 218 | |
| 3 | 2018 | 123 | |
| 4 | 2022 | 74 | |
| 5 | 2022 | 67 | |
| 6 | 2020 | 67 | |
| 7 | 2019 | 61 | |
| 8 | 2022 | 56 | |
| 9 | 2020 | 54 | |
| 10 | 2021 | 49 | |
| 11 | 2018 | 46 | |
| 12 | 2015 | 45 | |
| 13 | 2020 | 45 | |
| 14 | 2018 | 45 | |
| 15 | 2013 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2013 | 36 | |
| 18 | 2020 | 33 | |
| 19 | 2023 | 32 | |
| 20 | 2024 | 30 |
About Junjie Wang
Junjie Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (37 papers), Photoreceptor and optogenetics research (14 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neural dynamics and brain function (12 papers), Neuroscience and Neural Engineering (10 papers), Electrocatalysts for Energy Conversion (7 papers), Semiconductor materials and devices (6 papers) and Advanced Fiber Laser Technologies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (489 citations), Electrical and Electronic Engineering (1.5k citations), Polymers and Plastics (237 citations), Renewable Energy, Sustainability and the Environment (216 citations) and Cognitive Neuroscience (194 citations). Junjie Wang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Su‐Ting Han, Ye Zhou, Ziyu Lv, Yan Wang, T. P. Chen, Jingrui Chen, Qi Yu, Yang Liu, You Yin and S. G. Hu. Their work appears in journals such as IEEE Access, Advanced Science, Advanced Electronic Materials, AIP Advances and Advanced Functional Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.